Detection of a change-point in student-t linear regression models
Abstract
In this work the Schwarz Inforamtion Criterion (SIC) is used in order to locate a change-point in linear regression models with independent errors distributed according to the Student-t distribution. The methodology is applied to data sets from the financial area. © Springer-Verlag 2006.
Más información
Título según WOS: | Detection of a change-point in student-t linear regression models |
Título según SCOPUS: | Detection of a change-point in student-t linear regression models |
Título de la Revista: | STATISTICAL PAPERS |
Volumen: | 47 |
Número: | 1 |
Editorial: | Springer |
Fecha de publicación: | 2006 |
Página de inicio: | 31 |
Página final: | 48 |
Idioma: | English |
URL: | http://link.springer.com/10.1007/s00362-005-0271-x |
DOI: |
10.1007/s00362-005-0271-x |
Notas: | ISI, SCOPUS |